Electrodiagnosis support system for localizing neural injury in an upper limb
DC Field | Value | Language |
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dc.contributor.author | Shin, Hanjun | - |
dc.contributor.author | Kim, Ki Hoon | - |
dc.contributor.author | Song, Chihwan | - |
dc.contributor.author | Lee, Injoon | - |
dc.contributor.author | Lee, Kyubum | - |
dc.contributor.author | Kang, Jaewoo | - |
dc.contributor.author | Kang, Yoon Kyoo | - |
dc.date.accessioned | 2021-09-08T03:38:58Z | - |
dc.date.available | 2021-09-08T03:38:58Z | - |
dc.date.created | 2021-06-11 | - |
dc.date.issued | 2010-05 | - |
dc.identifier.issn | 1067-5027 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/116579 | - |
dc.description.abstract | Needle electromyography (EMG) is used for the diagnosis of a neural injury in patients with a cervical/lumbar radiculopathy, plexopathy, peripheral neuropathy, or myopathy. Needle EMG is a particularly invasive test and thus it is important to minimize the pain during inspections. In this paper, we introduce the Electrodiagnosis Support System (ESS), which is a clinical decision support system specialized for neural injury diagnosis in the upper limb. ESS can guide users through the diagnosis process and assist them in making the optimal decision for minimizing unnecessary inspections and as an educational tool for medical trainees. ESS provides a graphical user interface that visualizes the neural structure of the upper limb, through which users input the results of needle EMG tests and retrieve diagnosis results. We validated the accuracy of the system using the diagnosis records of 133 real patients. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | OXFORD UNIV PRESS | - |
dc.subject | EXPERT-SYSTEM | - |
dc.subject | LOCALIZATION | - |
dc.subject | LESIONS | - |
dc.title | Electrodiagnosis support system for localizing neural injury in an upper limb | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kang, Jaewoo | - |
dc.contributor.affiliatedAuthor | Kang, Yoon Kyoo | - |
dc.identifier.doi | 10.1136/jamia.2009.001594 | - |
dc.identifier.scopusid | 2-s2.0-77955289073 | - |
dc.identifier.wosid | 000277580700017 | - |
dc.identifier.bibliographicCitation | JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, v.17, no.3, pp.345 - 347 | - |
dc.relation.isPartOf | JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION | - |
dc.citation.title | JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION | - |
dc.citation.volume | 17 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 345 | - |
dc.citation.endPage | 347 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | ahci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Health Care Sciences & Services | - |
dc.relation.journalResearchArea | Information Science & Library Science | - |
dc.relation.journalResearchArea | Medical Informatics | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Health Care Sciences & Services | - |
dc.relation.journalWebOfScienceCategory | Information Science & Library Science | - |
dc.relation.journalWebOfScienceCategory | Medical Informatics | - |
dc.subject.keywordPlus | EXPERT-SYSTEM | - |
dc.subject.keywordPlus | LOCALIZATION | - |
dc.subject.keywordPlus | LESIONS | - |
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